1. Inadequate method specificity: The method may not be able to distinguish the analyte of interest from other components in the sample.
2. Lack of linearity: The relationship between concentration and response may not be linear over the desired range.
3. Poor accuracy and precision: The method may not provide accurate and precise results consistently.
4. Inadequate sensitivity: The method may not be sensitive enough to detect low concentrations of the analyte.
5. Incomplete recovery: The method may not recover the analyte efficiently from the sample matrix.
6. Interference from matrix effects: Components in the sample matrix may interfere with the analysis, affecting the accuracy of results.
7. Inconsistent or incomplete documentation: Proper documentation of validation parameters, procedures, and results is essential for regulatory compliance and reproducibility.
8. Failure to meet regulatory requirements: Validation parameters may not meet the criteria set by regulatory agencies such as the FDA or EMA.
9. Lack of robustness: The method may not be robust enough to withstand variations in experimental conditions or sample characteristics.
10. Insufficient validation of stability: The method may not be validated for stability over time, affecting its reliability for long-term use.
Addressing these common problems through thorough validation studies and careful method development can help ensure the accuracy, reliability, and regulatory compliance of analytical methods in the pharmaceutical industry.
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